The U.S. Geological Survey (USGS), working in cooperation with the U.S. Fish and Wildlife Service, installed a groundwater and vegetation monitoring network in a proposed wetland area east of the Rio Grande near Bernardo, New Mexico on the NM Boys and Girls Ranch, at a site now known as the Blue Heron Wildlife Preserve (BHWP). In September of 2016, baseline vegetation data were collected across the BHWP to assess vegetation changes with time in the proposed wetland area as it is established and maintained. A second round of vegetation surveys were conducted in August of 2018 for comparative purposes. The collection of this data will support conservation and management decisions.

The U.S. Geological Survey (USGS), working in cooperation with the U.S. Fish and Wildlife Service, installed a groundwater and vegetation monitoring network in a proposed wetland area east of the Rio Grande near Bernardo, New Mexico on the NM Boys and Girls Ranch, at a site now known as the Blue Heron Wildlife Preserve (BHWP). In September of 2016, baseline vegetation data were collected across the BHWP to assess vegetation changes with time in the proposed wetland area as it is established and maintained. A second round of vegetation surveys were conducted in August of 2018 for comparative purposes. The collection of this data will support conservation and management decisions.

The U.S. Geological Survey (USGS), working in cooperation with the U.S. Fish and Wildlife Service, installed a groundwater and vegetation monitoring network in a proposed wetland area east of the Rio Grande near Bernardo, New Mexico on the NM Boys and Girls Ranch, at a site now known as the Blue Heron Wildlife Preserve (BHWP). In September of 2016, baseline vegetation data were collected across the BHWP to assess vegetation changes with time in the proposed wetland area as it is established and maintained. A second round of vegetation surveys were conducted in August of 2018 for comparative purposes. The collection of this data will support conservation and management decisions.

Plant cover data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 13 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. This table provides calculated measures of species richness, Shannon Diversity Index (H), and scores for non-metric multidimensional scaling (3 axes), by treatment, site, and year. These metrics were not calculated for the 2 blocks in C3 dropped from data collection after 2007, or for the one Marsh Creek block burned in 2007 (hence just 13 blocks represented here). Raw data from which these metrics were described in Plant_Taxa_Metadata2.xml.

Plant cover data were collected on 16, 1-ha experimental blocks in C3 and Marsh Creek units of Seney National Wildlife Refuge, 2006-2010. Within each unit, we selected 4 pairs of blocks representing sedge-shrub habitat, with one of the pair assigned to spring burning (C3, May 2008) or summer burning (Marsh Creek, 2007 and 2008). This before-after-control-impact design provided for data collection two growing seasons before the burn (2006, 16 blocks; 2007, 15 blocks) and two-three growing seasons (2008, 2009, and 2010; 13 blocks) after burning; the unburned plot of each pair served as the control, and the burned plot of each pair the treatment. This table provides calculated measures of species richness, Shannon Diversity Index (H), and scores for non-metric multidimensional scaling (3 axes), by treatment, site, and year. These metrics were not calculated for the 2 blocks in C3 dropped from data collection after 2007, or for the one Marsh Creek block burned in 2007 (hence just 13 blocks represented here). Raw data from which these metrics were described in Plant_Taxa_Metadata2.xml.

The Natural Communities dataset is a compilation of 48 publicly available State and federal agency datasets that map vegetation, wetlands, springs, and seeps in California. A working group comprised of DWR, the California Department of Fish and Wildlife (CDFW), and The Nature Conservancy (TNC) reviewed the compiled dataset and conducted a screening process to exclude vegetation and wetland types less likely to be associated with groundwater and retain types commonly associated with groundwater, based on criteria described in Klausmeyer et al., 2018. Two habitat classes are included in the Natural Communities dataset: (1) wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and (2) vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The data included in the Natural Communities dataset do not represent DWRs determination of a GDE. However, the Natural Communities dataset can be used by GSAs as a starting point when approaching the task of identifying GDEs within a groundwater basin. **Reference** Klausmeyer, K., Howard J., Keeler-Wolf T., Davis-Fadtke K., Hull R., and Lyons A. (2018). Mapping Indicators of Groundwater dependent ecosystems in California

The Natural Communities dataset is a compilation of 48 publicly available State and federal agency datasets that map vegetation, wetlands, springs, and seeps in California. A working group comprised of DWR, the California Department of Fish and Wildlife (CDFW), and The Nature Conservancy (TNC) reviewed the compiled dataset and conducted a screening process to exclude vegetation and wetland types less likely to be associated with groundwater and retain types commonly associated with groundwater, based on criteria described in Klausmeyer et al., 2018. Two habitat classes are included in the Natural Communities dataset: (1) wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and (2) vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The data included in the Natural Communities dataset do not represent DWRs determination of a GDE. However, the Natural Communities dataset can be used by GSAs as a starting point when approaching the task of identifying GDEs within a groundwater basin. **Reference** Klausmeyer, K., Howard J., Keeler-Wolf T., Davis-Fadtke K., Hull R., and Lyons A. (2018). Mapping Indicators of Groundwater dependent ecosystems in California

The Natural Communities dataset is a compilation of 48 publicly available State and federal agency datasets that map vegetation, wetlands, springs, and seeps in California. A working group comprised of DWR, the California Department of Fish and Wildlife (CDFW), and The Nature Conservancy (TNC) reviewed the compiled dataset and conducted a screening process to exclude vegetation and wetland types less likely to be associated with groundwater and retain types commonly associated with groundwater, based on criteria described in Klausmeyer et al., 2018. Two habitat classes are included in the Natural Communities dataset: (1) wetland features commonly associated with the surface expression of groundwater under natural, unmodified conditions; and (2) vegetation types commonly associated with the sub-surface presence of groundwater (phreatophytes). The data included in the Natural Communities dataset do not represent DWRs determination of a GDE. However, the Natural Communities dataset can be used by GSAs as a starting point when approaching the task of identifying GDEs within a groundwater basin. **Reference** Klausmeyer, K., Howard J., Keeler-Wolf T., Davis-Fadtke K., Hull R., and Lyons A. (2018). Mapping Indicators of Groundwater dependent ecosystems in California

In 1990 the US Geological Survey Fort Collins Science Center and National Park Service Water Resources Division established 133 permanent 1meter (m) X 2 m plots along the Gunnison River near Warner Point in Black Canyon of the Gunnison National Park. A one-dimensional hydraulic model was calibrated to determine the inundation necessary to inundate each plot, and this can be combined with daily flow data to determine the inundation duration or percentage of time a plot is under water. Occurrence of all plant species in these plots was determined in late July of 1990, 1994, 2001, 2006 and 2013. This data set includes 3 csv files of plot data. One file gives characteristics of plots, including plot name, inundating discharge, mean number of species occurring in the plot, mean vegetative cover, Mean Sorensen Index and mean inundation duration with flows exponentially weighted for recency using a half-life of 1.5 years. A second file gives characteristics of all the plant species that have occurred in the plots including scientific and common names, plant family, life span, occurrence of rhizomes, height, total occurrences across years, median inundating discharge of plots containing the plant, half-life for exponential weighting of flows selected by regressions relating species occurrence to flow in each sample year, slope, probability and variance of half-life regressions, and the optimum inundation duration, probability and variance of logistic regressions relating occurrence of species in all sample years to flow. A third file documents occurrence of species in plots in all five sample years as well as the inundation duration, number of species and total vegetative cover in each plot in each sample year. The 1990 data were interpreted by Auble et al. (1991 and 1994), and all five years of data were interpreted by Friedman et al. (2022). This data set also includes a library of repeat views of the river bars containing the plots photographed from the same set of 21 camera locations in 1990, 1994, 2001, 2006, 2013 and 2017, a total of 117 images. Finally, this data set also includes a csv file listing the years each view was photographed and the approximate latitude and longitude of each camera location.

In 1990 the US Geological Survey Fort Collins Science Center and National Park Service Water Resources Division established 133 permanent 1meter (m) X 2 m plots along the Gunnison River near Warner Point in Black Canyon of the Gunnison National Park. A one-dimensional hydraulic model was calibrated to determine the inundation necessary to inundate each plot, and this can be combined with daily flow data to determine the inundation duration or percentage of time a plot is under water. Occurrence of all plant species in these plots was determined in late July of 1990, 1994, 2001, 2006 and 2013. This data set includes 3 csv files of plot data. One file gives characteristics of plots, including plot name, inundating discharge, mean number of species occurring in the plot, mean vegetative cover, Mean Sorensen Index and mean inundation duration with flows exponentially weighted for recency using a half-life of 1.5 years. A second file gives characteristics of all the plant species that have occurred in the plots including scientific and common names, plant family, life span, occurrence of rhizomes, height, total occurrences across years, median inundating discharge of plots containing the plant, half-life for exponential weighting of flows selected by regressions relating species occurrence to flow in each sample year, slope, probability and variance of half-life regressions, and the optimum inundation duration, probability and variance of logistic regressions relating occurrence of species in all sample years to flow. A third file documents occurrence of species in plots in all five sample years as well as the inundation duration, number of species and total vegetative cover in each plot in each sample year. The 1990 data were interpreted by Auble et al. (1991 and 1994), and all five years of data were interpreted by Friedman et al. (2022). This data set also includes a library of repeat views of the river bars containing the plots photographed from the same set of 21 camera locations in 1990, 1994, 2001, 2006, 2013 and 2017, a total of 117 images. Finally, this data set also includes a csv file listing the years each view was photographed and the approximate latitude and longitude of each camera location.